rakeshvar/rnn_ctc

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

49
/ 100
Emerging

Supports both offline batch training and online incremental learning modes for sequence labeling tasks. Built on Theano with configurable RNN architectures (including bidirectional LSTMs), multiple optimizers (SGD, Adagrad, RMSprop), and learning rate annealing strategies. Includes a synthetic data generator for handwritten character recognition that can produce variable-length sequences with customizable alphabets and noise levels.

221 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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Stars

221

Forks

81

Language

Python

License

Apache-2.0

Last pushed

Jul 26, 2016

Commits (30d)

0

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